qubithubssvqe
Simultaneously optimizes for multiple eigenstates using a weighted cost function and orthogonality constraints. Each state gets an independent ansatz, and descending weights naturally sort states by energy. Applied to the 4-qubit Transverse Field Ising Model.
- Framework
- Qiskit
- Qubits
- 4
- Depth
- 18
- Gate set
- RY, RZ, CX
- Licence
- Not specified
- Version
- v1
- Updated
- 3 days ago
- Last run
- 3 months ago
Circuit
circuit.py · Qiskit · depth 18Loading circuit diagram…
metadata.json · 423 B
Code
Loading metadata.json…
Lineage
Not a fork.
No forks yet.
Suggested citation
@software{qubithub_ssvqe_2026,
author = {QubitHub Circuits},
title = {SSVQE Algorithm},
year = {2026},
version = {v1},
url = {https://qubithub.co/qubithub/ssvqe},
}Generated from this circuit's metadata. QubitHub does not mint DOIs, so this is not a registered identifier — check it against your venue's requirements before publishing.